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Optimizing Electricity Markets Through Game-Theoretical Methods: Strategic and Policy Implications for Power Purchasing and Generation Enterprises

This review proposes a novel integration of game-theoretical methods—specifically Evolutionary Game Theory (EGT), Stackelberg games, and Bayesian games—with deep reinforcement learning (DRL) to optimize electricity markets. Our approach uniquely addresses the dynamic interactions among power purchas...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Lefeng Cheng, Pengrong Huang, Mengya Zhang, Ru Yang, Yafei Wang
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-01-01
Schriftenreihe:Mathematics
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Online-Zugang:https://www.mdpi.com/2227-7390/13/3/373
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